Research on fuzzy intelligent control of coke oven heating

被引:0
|
作者
Li, Gongfa [1 ]
Kong, Jianyi [1 ]
Jiang, Guozhang [1 ]
Yang, Jintang [1 ]
Xiong, Hegen [1 ]
Hou, Yu [1 ]
机构
[1] Wuhan Univ Sci & Technol, Coll Machinery & Automat, Wuhan 430081, Hubei Province, Peoples R China
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The control principle of combining the intermittent heating control with the heating gas flow adjustment was adopted for coke oven heating control. Intelligent control strategy and an integrated model of coke oven heating were proposed, which combined two feedback control, one feedforward control and intelligent control. According to coking mechanism, heating supplied feed forward model was built, and carbonization index feedback model was proposed in the model to control coking management of coke oven. Flue temperature soft measurement model based on linear regression and neural network was built to supply temperature feedback. control. According to artificial experience and actual condition in the plant, the fuzzy rules were generated The proper amount of stopping heating time and heating gas flow were computed taking the operation condition of coke oven into account. Actual run results show that the strategy and model can solve the large inertia effectively and shorten adjustment time. So the system satisfies the actual production needs, and has great practical value.
引用
收藏
页码:307 / 310
页数:4
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